Structured vs. Unstructured Data
18 Questions
3 Views

Choose a study mode

Play Quiz
Study Flashcards
Spaced Repetition
Chat to lesson

Podcast

Play an AI-generated podcast conversation about this lesson

Questions and Answers

What characterizes structured data?

  • Is typically text-heavy
  • Contains irregularities and ambiguities
  • Organized in an unstructured manner
  • Adheres to a pre-defined data model (correct)
  • Which of the following is an example of structured data?

  • Audio files
  • NoSQL databases
  • PDF documents
  • Excel files (correct)
  • What makes unstructured data difficult to analyze using traditional programs?

  • Predefined data model
  • Relationship between rows and columns
  • Presence of irregularities and ambiguities (correct)
  • Conformance to a tabular format
  • In which context is the ability to analyze unstructured data especially relevant?

    <p>Big Data (D)</p> Signup and view all the answers

    What type of data includes information like pictures and videos?

    <p>Unstructured data (C)</p> Signup and view all the answers

    Which of the following is NOT an example of unstructured data?

    <p>Excel files (B)</p> Signup and view all the answers

    What is the term used to refer to the columns in a dataset?

    <p>Variables (D)</p> Signup and view all the answers

    Which of the following is NOT a synonym for an attribute in a dataset?

    <p>Entity (C)</p> Signup and view all the answers

    In data analysis, what do rows correspond to in a dataset?

    <p>Observations (D)</p> Signup and view all the answers

    Which type of variable can only take on specific, distinct values with no intermediate values possible?

    <p>Discrete Variable (B)</p> Signup and view all the answers

    What is another term for a data object in a dataset?

    <p>Entity (C)</p> Signup and view all the answers

    In the context of data analysis, what does a field represent?

    <p>A variable (B)</p> Signup and view all the answers

    What is the importance of considering temporal autocorrelation when working with time series data?

    <p>To understand that values of two measurements close in time are often very similar (D)</p> Signup and view all the answers

    Which type of data is an example of spatial data according to the text?

    <p>Weather data (precipitation, temperature, pressure) collected for various geographical locations (B)</p> Signup and view all the answers

    In the context of spatial data, what does spatial autocorrelation refer to?

    <p>The similarity between objects that are physically close (A)</p> Signup and view all the answers

    What is a key characteristic of a data structure?

    <p>The collection of data values and relationships among them (D)</p> Signup and view all the answers

    Why is it important to organize and store data efficiently in a computer?

    <p>To ensure that data can be accessed and modified efficiently (C)</p> Signup and view all the answers

    Which aspect of temporal data is crucial for understanding temporal autocorrelation?

    <p>The values of measurements close in time (D)</p> Signup and view all the answers

    More Like This

    Use Quizgecko on...
    Browser
    Browser